{"id":1115703,"date":"2025-01-08T18:09:21","date_gmt":"2025-01-08T10:09:21","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1115703.html"},"modified":"2025-01-08T18:09:24","modified_gmt":"2025-01-08T10:09:24","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e6%89%81%e7%9a%84%e5%9d%90%e6%a0%87%e8%bd%b4%e5%8f%98%e9%95%bf","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1115703.html","title":{"rendered":"python\u5982\u4f55\u628a\u6241\u7684\u5750\u6807\u8f74\u53d8\u957f"},"content":{"rendered":"

\"python\u5982\u4f55\u628a\u6241\u7684\u5750\u6807\u8f74\u53d8\u957f\"<\/p>\n

\u8981\u4f7fPython\u4e2d\u7684\u6241\u5e73\u5750\u6807\u8f74\u53d8\u957f\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\u3001\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\u3001\u4f7f\u7528\u4e0d\u540c\u7684\u7ed8\u56fe\u5e93\u7b49\u65b9\u6cd5\u5b9e\u73b0\u3002<\/strong> \u5176\u4e2d\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u662f\u4f7f\u7528matplotlib<\/code>\u5e93\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528figsize<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u5c3a\u5bf8\uff0c\u4ece\u800c\u4f7f\u5750\u6807\u8f74\u53d8\u957f\u3002\u4f8b\u5982\uff0c\u5728\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u8bbe\u7f6e\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
plt.figure(figsize=(12, 6))<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u5206\u522b\u8bbe\u7f6e\u4e3a12\u548c6\uff0c\u4ece\u800c\u4f7f\u5750\u6807\u8f74\u53d8\u957f\u3002\u63a5\u4e0b\u6765\uff0c\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4ed6\u8c03\u6574\u5750\u6807\u8f74\u7684\u4e0d\u540c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528matplotlib<\/code>\u8c03\u6574\u56fe\u5f62\u5c3a\u5bf8<\/h3>\n<\/p>\n
1.1 \u8bbe\u7f6e\u56fe\u5f62\u5c3a\u5bf8<\/h4>\n<\/p>\n
\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528plt.figure()<\/code>\u51fd\u6570\u4e2d\u7684figsize<\/code>\u53c2\u6570\u8bbe\u7f6e\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\uff0c\u53ef\u4ee5\u4f7f\u5750\u6807\u8f74\u53d8\u5f97\u66f4\u957f\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u8bbe\u7f6e\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
plt.figure(figsize=(15, 8))<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7\u5c06\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u5206\u522b\u8bbe\u7f6e\u4e3a15\u548c8\uff0c\u53ef\u4ee5\u4f7f\u5750\u6807\u8f74\u53d8\u5f97\u66f4\u957f\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n
1.2 \u8c03\u6574\u5b50\u56fe\u5c3a\u5bf8<\/h4>\n<\/p>\n
\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528subplot<\/code>\u51fd\u6570\u6765\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u901a\u8fc7\u8c03\u6574\u5b50\u56fe\u7684\u5c3a\u5bf8\u6765\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u5b50\u56fe\u7684\u56fe\u5f62<\/strong><\/h2>\n
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6))<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y1 = [1, 4, 9, 16, 25]<\/p>\n
y2 = [1, 8, 27, 64, 125]<\/p>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax1.plot(x, y1)<\/p>\n
ax1.set_title('\u5b50\u56fe1')<\/p>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax2.plot(x, y2)<\/p>\n
ax2.set_title('\u5b50\u56fe2')<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
ax1.set_xlabel('X\u8f74')<\/p>\n
ax1.set_ylabel('Y\u8f74')<\/p>\n
ax2.set_xlabel('X\u8f74')<\/p>\n
ax2.set_ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u5b50\u56fe\u7684\u56fe\u5f62\uff0c\u5e76\u5206\u522b\u8c03\u6574\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\uff0c\u4ece\u800c\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4<\/h3>\n<\/p>\n
\u9664\u4e86\u8c03\u6574\u56fe\u5f62\u5c3a\u5bf8\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u5750\u6807\u8f74\u7684\u8303\u56f4\u6765\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528set_xlim()<\/code>\u548cset_ylim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 30)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06X\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u52306\uff0cY\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523030\uff0c\u4ece\u800c\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u4e0d\u540c\u7684\u7ed8\u56fe\u5e93<\/h3>\n<\/p>\n
\u9664\u4e86matplotlib<\/code>\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u7ed8\u56fe\u5e93\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528seaborn<\/code>\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\u6765\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
tips = sns.load_dataset("tips")<\/p>\n
\u8bbe\u7f6e\u56fe\u5f62\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n
plt.figure(figsize=(12, 6))<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
sns.scatterplot(x="total_bill", y="tip", data=tips)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('\u603b\u8d26\u5355')<\/p>\n
plt.ylabel('\u5c0f\u8d39')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528seaborn<\/code>\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\u6765\u6539\u53d8\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8c03\u6574\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e<\/h3>\n<\/p>\n
\u5728\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\u65f6\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u6765\u6539\u5584\u56fe\u5f62\u7684\u663e\u793a\u6548\u679c\u3002\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528set_xticks()<\/code>\u548cset_yticks()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u523b\u5ea6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u523b\u5ea6<\/strong><\/h2>\n
plt.xticks([0, 1, 2, 3, 4, 5, 6])<\/p>\n
plt.yticks([0, 5, 10, 15, 20, 25, 30])<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6eX\u8f74\u548cY\u8f74\u7684\u523b\u5ea6\uff0c\u4ece\u800c\u6539\u5584\u56fe\u5f62\u7684\u663e\u793a\u6548\u679c\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528aspect<\/code>\u53c2\u6570\u8c03\u6574\u5750\u6807\u8f74\u7684\u7eb5\u6a2a\u6bd4<\/h3>\n<\/p>\n
\u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528set_aspect()<\/code>\u51fd\u6570\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u7eb5\u6a2a\u6bd4\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u7eb5\u6a2a\u6bd4<\/strong><\/h2>\n
plt.gca().set_aspect(0.5, adjustable='box')<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5750\u6807\u8f74\u7684\u7eb5\u6a2a\u6bd4\u8bbe\u7f6e\u4e3a0.5\uff0c\u4ece\u800c\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002<\/p>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0c\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u5c3a\u5bf8\u3001\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\u3001\u4f7f\u7528\u4e0d\u540c\u7684\u7ed8\u56fe\u5e93\u3001\u8c03\u6574\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u4ee5\u53ca\u8c03\u6574\u5750\u6807\u8f74\u7684\u7eb5\u6a2a\u6bd4\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u6241\u5e73\u7684\u5750\u6807\u8f74\u53d8\u957f\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u60a8\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u89e3\u51b3\u76f8\u5173\u95ee\u9898\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u957f\u5ea6\u3002\u901a\u8fc7\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u663e\u793a\u8303\u56f4\uff0c\u53ef\u4ee5\u6709\u6548\u6539\u53d8\u5750\u6807\u8f74\u7684\u89c6\u89c9\u6548\u679c\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u6765\u5b9a\u4e49x\u8f74\u548cy\u8f74\u7684\u8303\u56f4\uff0c\u4ece\u800c\u4f7f\u5750\u6807\u8f74\u770b\u8d77\u6765\u66f4\u957f\u6216\u66f4\u77ed\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Matplotlib\u7684axhline\u548caxvline\u6765\u5ef6\u4f38\u5750\u6807\u8f74\uff1f<\/strong>
\u4f7f\u7528axhline()<\/code>\u548caxvline()<\/code>\u51fd\u6570\u53ef\u4ee5\u5728\u56fe\u4e2d\u6dfb\u52a0\u6c34\u5e73\u6216\u5782\u76f4\u7ebf\u3002\u8fd9\u4e9b\u51fd\u6570\u5141\u8bb8\u4f60\u8bbe\u7f6e\u7ebf\u6761\u7684\u8303\u56f4\u8d85\u51fa\u5f53\u524d\u5750\u6807\u8f74\u7684\u8303\u56f4\uff0c\u4ece\u800c\u5728\u89c6\u89c9\u4e0a\u5ef6\u957f\u5750\u6807\u8f74\u3002\u901a\u8fc7\u8c03\u6574xmin<\/code>\u548cxmax<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u63a7\u5236\u7ebf\u6761\u7684\u8d77\u6b62\u4f4d\u7f6e\u3002<\/p>\n
\u5728\u8c03\u6574\u5750\u6807\u8f74\u957f\u5ea6\u65f6\uff0c\u5982\u4f55\u4fdd\u6301\u6570\u636e\u7684\u53ef\u8bfb\u6027\uff1f<\/strong>
\u5728\u8c03\u6574\u5750\u6807\u8f74\u957f\u5ea6\u65f6\uff0c\u5efa\u8bae\u9002\u5f53\u8c03\u6574\u56fe\u5f62\u7684\u5927\u5c0f\uff0c\u786e\u4fdd\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u95f4\u9694\u4fdd\u6301\u5408\u7406\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u548c\u6807\u7b7e\u4f4d\u7f6e\u6765\u63d0\u5347\u53ef\u8bfb\u6027\u3002\u4f7f\u7528plt.tight_layout()<\/code>\u53ef\u4ee5\u5e2e\u52a9\u81ea\u52a8\u8c03\u6574\u5b50\u56fe\u53c2\u6570\uff0c\u4f7f\u5f97\u56fe\u5f62\u66f4\u4e3a\u6574\u9f50\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u4f7fPython\u4e2d\u7684\u6241\u5e73\u5750\u6807\u8f74\u53d8\u957f\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5c3a\u5bf8\u3001\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\u3001\u4f7f\u7528\u4e0d\u540c\u7684\u7ed8\u56fe\u5e93\u7b49\u65b9\u6cd5\u5b9e\u73b0\u3002 \u5176\u4e2d […]","protected":false},"author":3,"featured_media":1115714,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1115703"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1115703"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1115703\/revisions"}],"predecessor-version":[{"id":1115715,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1115703\/revisions\/1115715"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1115714"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1115703"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1115703"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1115703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}